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Targeting vs. Instrument Rules for Monetary Policy

Authors: Bennett T. McCallum; Edward Nelson;

Targeting vs. Instrument Rules for Monetary Policy

Abstract

Svensson (2003) argues strongly that specific targeting rules—first-order optimality conditions for a specific objective function and model—are normatively superior to instrument rules for the conduct of monetary policy. That argument is based largely on four main objections to the latter, plus a claim concerning the relative interest-instrument variability entailed by the two approaches. The present paper considers the four objections in turn and advances arguments that contradict all of them. Then, in the paper’s analytical sections, it is demonstrated that the variability claim is incorrect, for a neo-canonical model and also for a variant with one-period-ahead plans used by Svensson, providing that the same decisionmaking errors are relevant under the two alternative approaches. Arguments relating to general targeting rules and actual central bank practice are also included.

Keywords

150399 Business and Management not elsewhere classified, FOS: Economics and business, Monetary policy ; Banks and banking, Central, jel: jel:E52, jel: jel:E58

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Top 10%
bronze